1428 results about "Fire - disasters" patented technology

The invention relates to the technical field of public safety and intelligent fire protection, in particular to a real-time processing method and system based on fire alarm data, and the method comprises the steps: environment steady state reconstruction: accessing non-fire environment dynamic parameters; presetting thermotechnical static parameters of the building space; constructing a space thermal inertia differential equation; generating an ideal reference baseline; knowledge-driven simulation: receiving the ideal reference baseline; calling a synthesis operator in a preset disaster interference knowledge base; executing dynamic superposition injection; generating a virtual sensor state flow which has physical characteristics and contains environmental background characteristics; homomorphic judgment: executing double difference calculation; obtaining a real residual feature vector; geometric homomorphism verification is executed; outputting fire alarm triggering, interference filtering or fault prompting instructions; according to the method, the problem of false alarm caused by non-stable fluctuation of the environment background in the background technology is solved, and dynamic fusion and scene adaptation of the standard signal model and the real environment background are realized.

The invention relates to the technical field of tunnel engineering safety, in particular to a tunnel fire multi-stage damage collaborative prediction method and system, and the method comprises the steps: constructing a data simulation fusion model, and carrying out the processing of fire and tunnel structure parameter data, and obtaining a multi-working-condition parameter database; constructing a heat conduction equation, a fire plume and wall surface heat exchange relational expression, a boundary layer correction model and a comprehensive damage evaluation model, and analyzing the equation, the relational expression and the model by utilizing a multi-physical field coupling unified boundary condition to obtain a multi-physical boundary constraint condition; obtaining a multi-physical constraint loss function based on a network architecture and a multi-physical boundary constraint condition, and further obtaining a comprehensive constraint loss function of a temperature field-stress field-damage index; constructing a PINN-LSTM network architecture and a damage evolution analysis model based on the fire ending initial state coding vector, the fire course feature vector and the cooling process feature vector; and performing linkage analysis on the function, the frame and the model to predict and monitor the transient damage and the long-term creep damage of the tunnel.

The invention relates to the technical field of forest fire management, in particular to an integrated forest fire intelligent analysis method and system. The system comprises a background service system, a central intelligent analysis system and a mobile intelligent analysis system. The background service system is deployed in a cloud computing server cluster and is used for uniformly storing personnel information, fire scene information and geographic information data and realizing multi-source data fusion and authority management through a standardized API (Application Program Interface); the central intelligent analysis system is deployed in a high-performance computer, integrates a forest fire danger auxiliary decision-making model, a forest fire spreading trend prediction model, a force distribution dynamic display module and a collaborative plotting module, and supports fire spreading prediction and real-time decision-making instruction issuing based on multi-dimensional data such as weather, terrain and vegetation; the mobile intelligent analysis system realizes fire spreading trend analysis, mobile plotting and instruction receiving in an offline environment, supports offline data caching and calling in an emergency scene, and effectively improves forest fire emergency response efficiency and resource scheduling accuracy.

The invention relates to the technical field of fire safety management, and discloses a fire safety management supervision platform system. The system comprises a building information acquisition module for acquiring building structure data and environment monitoring data of a target building in real time; the risk area division module is used for dividing a plurality of independent fire risk areas according to the building structure data and distributing area identifiers; the historical data indexing module is used for indexing a historical fire accident data set and a fire-fighting facility maintenance record set of each region according to the region identifier; the dynamic risk analysis module fuses the environment monitoring data and the historical fire accident data set to generate a real-time fire risk coefficient sequence; the fire-fighting resource scheduling module is used for generating a fire-fighting resource allocation scheme based on the real-time fire risk coefficient sequence and the facility maintenance record set; and the emergency response decision module generates a multi-stage fire emergency response strategy according to the resource allocation scheme. The system improves the timeliness and pertinence of fire safety management.

The invention relates to the technical field of evacuation intelligent simulation, in particular to a fire-fighting evacuation path dynamic planning method and system based on digital twinning. In the fire-fighting evacuation path dynamic planning method and system based on digital twinning, a digital twinning environment containing multi-dimensional real-time sensing data such as temperature, smoke and heat radiation intensity is constructed; the method can dynamically analyze space-time evolution characteristics such as fire spreading trend and heat accumulation, further carries out accurate quantitative evaluation on the danger level of each segment of an evacuation path, and meanwhile, integrates video monitoring and wireless positioning information to grasp the specific positions and moving tracks of people in a building in real time, thereby improving the safety and reliability of the evacuation path. The actual flow bottleneck is identified based on the flow direction consistency, the distribution density and the congestion condition of the crowd, and finally, the dynamic danger of the fire environment and the macroscopic flow trend of the crowd are combined, and the passage cost value of each path section is subjected to dual dynamic correction, so that the flow rate of the crowd is improved. And an evacuation path planning result giving consideration to fire hazard avoidance and crowd congestion evacuation is generated, so that the real-time performance and safety of evacuation decision making are effectively improved.

The invention belongs to the technical field of fire fighting, and particularly relates to an intelligent fire extinguishing device for fire disasters, which comprises a valve body, a valve plate for sealing a connecting port is connected in the valve body in an up-down sliding manner, a valve rod in threaded connection with the valve body is arranged on the valve plate, and a sealing plate is arranged on the valve rod at the upper end of the valve plate. The supporting block is provided with a drainage hole for water to flow back, after water flow is cut off, a cavity is formed between the closing plate and the valve plate, the water flow in the closed cavity can be recycled, and then residual water in the closed valve body is continuously gathered at the closing plate, can be gathered into the drainage hole and is collected and recycled into the cavity through the drainage hole. Meanwhile, uniform recovery is conducted, drainage and convergence of water flow on the closing plate are accelerated through driving of the adjusting assembly, and therefore residual water is little, the retention time is short, the corrosion and rust degree is reduced, and the service life is prolonged.

The invention relates to the technical field of fire safety, in particular to a fire simulation early warning system based on intelligent fire protection multi-source data fusion, which comprises a sensor health degree dynamic evaluation module, an intelligent sensor health degree dynamic evaluation module and a fire simulation early warning module, establishing a two-dimensional feature library of the state of the sensor and environmental interference; and based on the feature library data, a fuzzy comprehensive evaluation method is adopted. By filtering unreliable data of the sensor, distinguishing multi-source contradictory data, dynamically adjusting weights according to fire behavior stages, iteratively updating data credibility and optimizing parameters in a closed-loop mode, the problems of false alarm and missing alarm in the prior art are effectively solved, and the accuracy and practicability of the intelligent fire-fighting early warning system are improved.

The invention discloses an HRR-based acoustic fire hazard type identification method, device and equipment and a medium, and relates to the technical field of fire hazard detection, and the method comprises the steps: obtaining an original acoustic signal through transmitting a high-frequency modulation ultrasonic wave and receiving a flame region reflection echo, obtaining channel impulse response data through channel estimation, and carrying out the channel impulse response data; flame features are extracted, a heat release rate curve is calculated and generated, finally fire type identification and fire behavior stage determination are completed based on the curve, dense smoke, shielding and illumination interference can be resisted, accurate quantification of the heat release rate is realized, fire type identification and fire behavior development stage determination can be finely carried out, and the accuracy of fire behavior determination is improved. And a stable and reliable technical support is provided for fire monitoring and emergency decision making.

The invention provides a chemical industrial park fire spreading prediction method and system. The method comprises the following steps: dividing a grid chart structure of a target chemical industrial park space structure into a plurality of function partition sub-graphs; determining a fire propagation flux of a shared node in an overlapping region between every two adjacent function zone sub-graphs, converting each function zone sub-graph into a macro-scale sub-graph, and determining a fire propagation macro-situation of the target chemical industrial park; according to the fire propagation flux and the fire propagation macroscopic situation, determining a fire front edge envelope line of each area, thereby constructing a fire propagation prediction model of the target chemical industry park, inputting fire initial environment data into the fire propagation prediction model, and outputting a fire propagation prediction result. And automatically triggering a fire alarm signal of the target park according to a fire spreading prediction result. By adopting the scheme of the application, the fire spreading of the target chemical industrial park can be predicted by combining the dynamic fire interaction among the areas in the target chemical industrial park.

The invention discloses an intelligent fire prevention and control and operation and maintenance optimization method and system for an electric power supply network, and the method comprises the steps: collecting temperature, humidity and smoke concentration data in real time through a sensor network, generating a comprehensive environment index data flow, and obtaining a fire initial signal through abnormality judgment; calling a medium selection model, and outputting an optimal environment-friendly insulating medium and release parameters thereof by querying an environment-friendly medium and insulating characteristic parameter library and performing matching calculation based on the equipment type; utilizing a response speed optimization algorithm to generate an accurate release instruction sequence containing a release path, a dose and a time sequence; controlling the medium atomization device to synchronously release the medium according to the instruction; and collecting equipment protection and power supply continuity data, performing risk assessment to generate an efficiency index, and updating the prevention and control strategy library to optimize a subsequent decision. Through intelligent decision making and closed-loop optimization, power supply continuity and equipment safety are guaranteed to the maximum extent while rapid and accurate fire extinguishing is achieved, and transformation from post-disaster disposal to operation and maintenance level prevention and control is completed.

The invention belongs to the technical field of fire-fighting facility control and management, and discloses a fire-fighting facility full-life-cycle intelligent operation and maintenance management control system. Comprising the following steps: acquiring real-time field state data; in a non-fire state, executing an active excitation and response test to obtain dynamic response data; processing the field state data and the dynamic response data by adopting an end-to-end multi-task learning framework, and outputting a structured diagnosis result containing the health states of the pump set, the valve and the pipe network; establishing an initial health baseline of each key device, and dynamically generating a self-adaptive alarm threshold value; a quantitative risk level is generated in combination with the fire safety level, and an operation and maintenance strategy instruction containing pilot operation and maintenance parameters is generated; main and standby equipment switching and strong health detection are automatically executed, and the fire protection function is preferentially guaranteed when a fire alarm or a manual forcing instruction is received; and executing grading alarm according to the quantitative risk grade. And intelligent operation and maintenance management control of the whole life cycle of fire-fighting equipment is realized.

The invention relates to the technical field of fire safety monitoring and early warning, in particular to a fire risk dynamic assessment and early warning method based on deep reinforcement learning, comprising the following steps: acquiring multi-source sensing data of a target area; a dynamically updated fire risk assessment state space is constructed based on multi-source sensing data, and a real-time state in the state space is processed and a risk assessment decision is generated through a deep reinforcement learning agent optimized based on an accumulated award function weighted by an accuracy award, a false alarm punishment and a missing alarm punishment; the deep reinforcement learning agent adopts a deep deterministic strategy gradient network structure; mapping the continuous output of the risk assessment decision into a discrete dynamic fire risk level; and triggering an early warning signal matched with the dynamic fire risk level according to the dynamic fire risk level. Through multi-source data standardization, dynamic state space, reinforcement learning optimization and grading early warning binding, accurate dynamic evaluation, reliable early warning and efficient emergency response are realized.

The invention provides a movable circulating water curtain fire extinguishing trolley for a vehicle chassis fire disaster. The movable circulating water curtain fire extinguishing trolley comprises a crawler trolley; a water storage tank; the water collecting disc is connected with the water storage tank or the water supply pipeline through a water return pipeline; the filtering assembly is arranged above the water collecting area of the water collecting disc; the water inlet end of the upward spraying unit is communicated with the water storage tank or the water supply pipeline through the water supply pipeline; the water inlet end of the circulating water pump is connected to the water collecting area in the water collecting disc, and the water outlet end is connected to the water storage tank or the water supply pipeline; the sensor assembly is used for collecting the distance between the vehicle chassis and the water collecting disc; the execution module is used for receiving the current distance between the vehicle chassis and the water collecting disc and sending a corresponding spraying included angle conversion instruction to the upward spraying unit; wherein the water storage tank, the upward spraying unit, the water collecting disc, the filtering assembly and the circulating water pump jointly form a closed insulating fire extinguishing agent circulating loop, so that the fire extinguishing adaptability and efficiency are improved, and meanwhile, the moving stability of the fire extinguishing trolley can be improved through selection of the crawler trolley.

The invention provides a tunnel fire monitoring and ventilation and smoke exhaust linkage control system. The tunnel fire monitoring and ventilation and smoke exhaust linkage control system comprises a tunnel environment and fire monitoring module, a data fusion processing module, a tunnel ventilation and smoke exhaust linkage control module and a remote monitoring and control management system module which are connected through a communication network. The data fusion processing module is configured with a D-S evidence theory algorithm and is used for receiving multi-source environment data, calculating basic probability distribution of data of each sensor, quantitatively evaluating a fire occurrence probability through a combination rule and generating a fire state judgment result; the tunnel ventilation and smoke exhaust linkage control module is used for receiving the fire state judgment result and determining the target wind speed according to the fire scale; a fuzzy PID control unit and a hysteresis control unit are arranged in the tunnel ventilation and smoke exhaust linkage control module. According to the method, the problem of high false alarm rate of traditional monitoring is solved, the engineering problem that discrete ventilation equipment is difficult to continuously and accurately control is solved, and the disaster prevention and reduction capability of the tunnel is remarkably improved.

The invention discloses a community fire risk dynamic assessment method and system based on AI prediction, and belongs to the technical field of fire prevention and control, and the method comprises the steps: S1, collecting and preprocessing multi-source data of a community, and constructing a comprehensive risk factor database; s2, constructing a risk prediction model, taking the preprocessed multi-source data as input, identifying a key risk factor, and outputting a fire risk probability; s3, calculating the dynamic weight of each index by fusing the static expert experience and the real-time risk contribution degree; s4, based on the dynamic weight and the risk probability, calculating a comprehensive risk value and dividing risk levels; s5, constructing a prevention and control strategy library based on the risk level and the key risk factor; according to the community fire risk dynamic assessment method and system based on AI prediction, the change rule of the fire risk factors in the community can be captured in real time, potential fire hazards can be predicted in advance, and a targeted prevention and control strategy can be automatically generated.

The invention discloses a fire-fighting early warning method and device and a medium, and the method comprises the steps: collecting the operation data of fire-fighting equipment, and determining the operation state of the fire-fighting equipment through signal analysis and parameter comparison; preprocessing environmental sensor monitoring data to obtain standard monitoring data; determining fusion weight of each sensor according to scene fire risk characteristics, and constructing a space-time diagram model; inputting the two into a space-time diagram neural network, optimizing the weight through reinforcement learning, and extracting dynamic fusion features; inputting the features into a time sequence prediction model, and outputting a risk prediction sequence in a future preset time period; inputting the dynamic characteristics and the prediction sequence into a digital twinborn model for simulation verification, and outputting an early warning result; and according to the early warning and the space-time diagram, causal inference is used for screening the collaborative agent to generate a disposal instruction. Through a cognitive closed loop of perception, fusion, prediction and verification, the false alarm rate is greatly reduced, and the early warning efficiency is improved.

The invention provides a power transmission line fire risk grade zoning prediction method and system, and relates to the technical field of intelligent power grid environment perception and risk early warning, and the method comprises the steps: data collection and multi-source space-time fusion: collecting the regional characteristics of the historical fire occurrence space-time, real-time meteorological parameters, vegetation types and combustible rates of a power transmission line to form a multi-source data set, the multi-source data set realizes alignment coding through a unified geographic grid and a timestamp, and a fire risk sample set is generated. Through a multi-source data deep fusion and grid space-time alignment mechanism, unified coding and coupling modeling of regional features such as historical fire occurrence space-time, real-time meteorological parameters, vegetation types and combustible rates are realized; risk zoning precision and spatial resolution are remarkably improved, zoning granularity can be refined in practical application, the resolution is far better than that of a traditional method, and the overlapping rate of a risk zoning result and actual fire distribution is improved.

The invention discloses a fire early warning cooperative system composed of a thermal imaging double-spectrum intelligent ball, an intelligent analysis platform and a fire extinguishing unmanned aerial vehicle, which is applied to the technical field of fire early warning, and comprises the thermal imaging double-spectrum intelligent ball, an integrated visible light sensor and a thermal imaging sensor, and a double-spectrum fusion monitoring technology is adopted to carry out omnibearing and all-weather monitoring; the intelligent analysis platform simulates a fire spreading path based on a fire spreading prediction model of a fluid dynamics and machine learning algorithm, generates a three-dimensional fire danger thermodynamic diagram, and completes a whole-process response from regional early warning to command center decision making to unmanned aerial vehicle cluster task distribution through a multi-level early warning mechanism; the fire extinguishing unmanned aerial vehicle adopts a multi-model collaborative operation system to meet the fire extinguishing requirements of different fire scenes. According to the invention, in a complex and changeable fire scene, the fire hazard can be quickly and accurately identified, and the efficient disposal of fire extinguishing operation is realized.

The invention relates to the technical field of fire prevention, and discloses a high-and-low-voltage power distribution room fire prevention early warning system based on potassium ion aerosol fire extinguishing, which comprises a smoke fire detection module used for detecting fire related data inside and outside a high-and-low-voltage power distribution room; the fire related data comprises smoke data and temperature data; the comprehensive evaluation module is used for judging whether an adopted evaluation model is a temperature evaluation model or a smoke evaluation model according to the fire related data; the fireproof grade classification module is used for grading fireproof grades in the high and low voltage power distribution room according to the screened evaluation model; the fire prevention measure implementation module is used for starting the potassium ion aerial fog fire extinguishing equipment in the corresponding fire prevention subareas to extinguish fire according to different grades; the electrical characteristic monitoring module is used for monitoring the load current and arc signal intensity of electrical equipment in the high-low voltage power distribution room and the temperature change rate of key nodes in real time; according to the invention, multi-dimensional accurate monitoring and graded prevention and control of the fire risk of the high and low voltage power distribution room are realized.

The invention relates to the technical field of fire reason investigation, and particularly discloses a heat radiation test device with an adjustable test rack, which comprises a heat radiation rack and a test rack, a radiation source is mounted on the heat radiation frame; the test rack is in a portal shape, the left end and the right end of the test rack are sleeved with sliding supports with the adjustable height respectively, and locking assemblies are installed on the sliding supports. The device further comprises a horizontally-arranged rotating rod, the two ends of the rotating rod are connected to the two rotating rods correspondingly, and a rotating assembly is installed on the rotating rod and rotates in the circumferential direction of the rotating rod. A fixing frame is installed on the rotating assembly and used for fixing a sample. The effect of adjusting the overall height of the fixing frame is achieved by adjusting the height of the sliding support, the angle of the fixing frame is adjusted through the upper rotating assembly, a sample can face a radiation source at different angles to conduct a heat radiation test, and an operator can more accurately simulate the state of the sample to test data according to post-disaster data.

The invention discloses a forest fire unmanned aerial vehicle video monitoring system and method. The system comprises a data acquisition unit arranged on an unmanned aerial vehicle and responsible for acquiring multi-source monitoring data and spatial attitude data of a target area; the data processing unit is arranged on a ground station and is used for receiving and processing the data and generating fused situation data containing the position and situation of the fire behavior through a fire behavior recognition algorithm; the dynamic path planning unit is used for automatically generating a cruising or path tracking instruction according to the fused situation data, the geographic information and the state of the unmanned aerial vehicle; and the command decision-making unit is arranged in a ground command center and is responsible for visualized display, spatial analysis and emergency command of the fire behavior and issuing a path instruction to the unmanned aerial vehicle for execution so as to realize a monitoring and disposal closed loop. According to the invention, multi-source data efficient processing, fire accurate identification, dynamic path planning and emergency command efficient linkage can be realized, the monitoring coverage range and the response speed are improved, the labor cost is reduced, and the fire loss is reduced.

Multispectral imaging and related techniques are provided to detect fire hazards and alerts that are false positive indicators of the fire hazards. The embodiments are directed to systems for identifying pre-fire hazards using thermal images, visual images, and different rules corresponding to temperature configuration levels. The embodiment are also directed to identifying false positive indicators of fire hazards using regions of interest in the thermal and visual images, identifying objects that have hot components which may generate a false positive indicator for a fire hazard, and identifying sun reflections which may generate a false positive indicator for the fire hazard.

The invention discloses an Internet of Things networking scheduling method for railway tunnel disaster prevention illumination and evacuation indication, and relates to the technical field of railway tunnel disaster prevention. Comprising the following steps: S1, tunnel end monitoring equipment actively initiates environmental channel detection through a power line carrier communication network, scans impedance characteristics, noise levels and attenuation characteristics of different line sections in a tunnel, establishes a dynamic channel fingerprint database, and records an optimal communication frequency point and a channel quality threshold; and S2, performing real-time linkage between the local center monitoring main station and a fire alarm system, and after receiving a fire alarm signal, immediately generating a dynamic evacuation path through a disaster evolution prediction model according to a fire alarm position, a smoke diffusion state and a real-time channel state. The power line carrier communication module is utilized to actively perform channel detection and electrical parameter acquisition, a state channel fingerprint database is established, and fault diagnosis and state grading are performed based on the state channel fingerprint database, so that the overall reliability and maintainability of the scheme are improved, and the availability of equipment in a disaster is ensured.

The invention relates to the technical field of electrical fire intelligent early warning, in particular to an electrical fire intelligent early warning and handling method based on multi-source data fusion, which comprises a data acquisition system, and the output end of the data acquisition system is connected with a multi-source data fusion platform. The output end of the multi-source data fusion platform is provided with an intelligent analysis and early warning system, the output end of the intelligent analysis and early warning system is provided with a disposal decision system, the output end of the disposal decision system is provided with a feedback optimization system, and the multi-source data fusion platform, the intelligent analysis and early warning system, the disposal decision system and the feedback optimization system are integrated. The processing decision-making system and the feedback optimization system are both in communication connection with the data acquisition system. According to the invention, through the data acquisition-fusion analysis-intelligent early warning-decision processing-feedback optimization closed-loop system, the whole-process intelligent management of electrical fire prevention and control is realized, the cooperation work of each component breaks through the limitation of single parameter monitoring, and the three-dimensional acquisition of video data provides multi-dimensional data support for fire hazard identification.

The invention discloses a mine fire grading early warning method, system, device, medium and product, and the method comprises the steps: constructing an underground global map of a mine, and obtaining the multi-modal data of all local areas of the mine according to the underground global map; performing preprocessing and three-level data fusion on the multi-modal data, and determining a preliminary fire early warning result of the corresponding local area by adopting an edge hybrid neural network according to the fused multi-modal data; and according to the global multi-modal data of the mine, the initial fire early warning result and the real-time dynamic early warning threshold, performing fire risk prediction on the mine by adopting a central hybrid neural network to obtain a fire graded early warning result of the mine. The fire risk can be predicted more accurately based on multi-modal data fusion and a hybrid neural network; the early warning threshold value and strategy are automatically adjusted according to the real-time change of the mine environment by utilizing the technologies of online incremental learning, meta learning, reinforcement learning and the like, the parameters do not need to be manually adjusted, real-time calibration is realized, and the timeliness of early warning is improved.

The invention provides a spraying control method, system and device for a fire-fighting unmanned aerial vehicle and a medium. The spraying control method comprises the steps that fire scene data of a fire area is obtained every preset time period; calculating a target fire intensity factor according to the temperature distribution matrix data and the fire image data; determining a target instantaneous flow rate matched with the target fire intensity factor based on a corresponding relationship between the fire intensity factor and the instantaneous flow rate; and the actual spraying parameters of the spraying device are dynamically adjusted according to the target instantaneous flow and the fire scene data. According to the invention, the multi-dimensional fire scene data obtained in the preset time period are fused into the single fire intensity factor, so that the problem of low accuracy of judging the fire intensity according to image recognition is solved; the actual spraying flow and the actual spraying angle are dynamically adjusted according to the change of the target fire intensity factor and the fire scene data, the fire extinguishing agent spraying drop point positioning precision is remarkably improved, accurate matching of high-fire-intensity multi-spraying and low-fire-intensity low-spraying is achieved, and the fire extinguishing effect is improved.

The invention discloses a sky-ground integrated forestry resource investigation monitoring method and system, and relates to the technical field of forestry monitoring. Comprising the following steps: constructing gridding of a monitoring forest region to divide the forest region into a plurality of monitoring grids, and establishing an attribute table for each monitoring grid; attribute characteristic parameters are extracted from the attribute information, and a risk quantification portrait is realized; when a fire alarm is sensed through a satellite, an unmanned aerial vehicle, a camera or an artificial channel, a fire event is automatically generated, and the unmanned aerial vehicle is called for accurate re-checking; calculating a final risk value and determining an early warning level through a multi-level correction model by combining the fire scene situation, the meteorological data and the attribute characteristic parameters of the monitoring grid; and finally, according to the early warning level and the terrain complexity of the fire scene grid, automatically matching a preset risk-terrain strategy matrix, and generating an emergency instruction. According to the invention, fire perception, accurate positioning, intelligent research and judgment, strategy generation and scheduling automation are realized, and the emergency response speed of forest fire is improved.

The invention relates to the technical field of fire risk assessment, in particular to a fire risk assessment method and device for an energy storage power station, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining the structure information and equipment information of the energy storage power station, and constructing a three-dimensional simulation model; a three-dimensional simulation model is used for conducting simulation analysis through multiple physical fields, and disaster diffusion trends under various emergencies are obtained; the method comprises the following steps: simulating an emergency response plan in a multi-physics field simulation process based on disaster diffusion trends under various emergencies, fire-fighting equipment deployed by an energy storage power station and the corresponding emergency response plan, and performing fire-fighting risk assessment on a simulation result to obtain an assessment result. Modeling is carried out by utilizing physical characteristics and fire dynamics, so that the fire extinguishing design efficiency and accuracy are improved, the design cost and time investment are remarkably reduced, and a powerful guarantee is provided for the fire safety of the energy storage power station.

The invention discloses a fire alarm inspection system and method based on big data, and relates to the technical field of intelligent fire protection and public safety. The problems that a traditional fire fighting system is serious in data island phenomenon, single in risk perception dimension, static and rigid in early warning model, high in false alarm rate and low in inspection efficiency are solved. According to the method, a fire-fighting theme database is constructed, and based on a multi-dimensional dynamic analysis model, comprehensive analysis of space aggregation risks, time sequence evolution trends and equipment linkage logic is realized, and dynamic fire danger hidden danger indexes are calculated; a key monitoring object is positioned through a visual thermodynamic diagram, grading alarm is triggered, differentiated inspection tasks and an optimal route are generated based on the intelligence, and emergency disposal linkage is supported; closed-loop management from global risk perception, intelligent analysis and early warning to precise inspection treatment is realized, and early recognition and early warning accuracy and resource scheduling efficiency of fire hazards are remarkably improved.

The invention discloses an intelligent control system and method for an active fire extinguishing device of a high-voltage switch cabinet, and the system comprises the steps: collecting multi-source heterogeneous environmental parameters in the cabinet, carrying out the LoRa wireless transmission, introducing a dynamic thermal drift compensation mechanism based on an Arrhenius model, and carrying out the zero drift correction and sensitivity dual compensation of the original data of a sensor. A high-fidelity physical monitoring value is reconstructed through high-order polynomial nonlinear mapping, and the risk of false alarm and missing alarm caused by thermal-sensitive coupling is eliminated. After a fire hazard is recognized, the block type fire extinguishing device is excited in a linkage mode, inert gas and free radical groups are instantaneously released through an oxidation-reduction reaction to conduct total flooding type suppression, negative feedback adjustment and automatic termination of the reaction rate are achieved according to the environment temperature change, and therefore accurate early warning is ensured, and meanwhile the safety of the fire hazard is improved. Efficient blocking and reset safety protection of live-line fire disasters are realized.